: Introduction Th e concept of the quality of healthcare services is constantly evolving and transforming depending on the interest in it and the level of involvement of medical sta ff and patients. Aim To assess patient satisfaction with the quality of health services in private practice condition. Methods 105 (n=105) subjects participated in the study, and it was conducted by an anonymous survey of the clinic which o ff ers medical services, tests, and diagnostic procedures in the fi elds of gynecology, internal medicine, surgery, radiology, urology, and neurology. Th e research was conducted among patients who used the health services of a private practice institution from January to September 2022. Th e patient questionnaire consisted of 14 questions. Five questions related to identifying the sociodemographic characteristics of the respondents, and 9 questions were research questions of the Lickert type. For this purpose, the standardized Laschinger HCAHPS ( Hospital Consumer Assessment of Healthcare Providers and Systems ) questionnaire on patient satisfaction with the quality of healthcare services was used. Di ff erences in numerical variables were tested by Student’s t-test or analysis of variance (ANOVA). All P values are two-sided (p<0.05). Th e statistical program MedCalc Statistical Software version 18.2.1 was used for statistical analysis. Results Th e research was conducted on 105 patients, 28% of whom were male and 72% female. Most patients were in the age group of 61 to 70 years (30%). Patients are satis fi ed with the quality of healthcare services. Th e highest average score for reception and waiting time (4.9), the lowest score for being informed about upcoming interventions and treatments and professional approach (4.68). Conclusion Patients show a high degree of satisfaction with the general services provided.

The article presents an approach aimed at automatically deriving the initial conceptual database model from a set of business process models. The approach proposes the incremental synthesis of the target model by iteratively composing the partial conceptual database models that are derived from the models contained in the source set. The approach is implemented by the AMADEOS tool, which is the first online web-based tool enabling the automatic derivation of the conceptual database model from a set of business process models. The experimental evaluation proves that the implemented approach enables effective automatic derivation of the initial conceptual database model.